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Heym vs Pipelex
Pipelex offers a declarative language for AI workflows but is not a visual canvas and is MIT-licensed only.
HeymSelf-hosted AI workflow automation — visual canvas, multi-agent & AI Builder
PipelexDeclarative language for repeatable AI workflows (MIT)Side by side
- What it is
- Heym:Heym is a source-available, self-hosted platform for visual AI workflow automation with multi-agent orchestration.
- Pipelex:Pipelex is a declarative language and Python runtime for building repeatable, agent-first AI workflows that run on any model or provider.
- Best for
- Heym:Self-hosted AI workflow orchestration
- Pipelex:Declarative AI workflow orchestration
- Who it’s for
- Heym:AI, platform, and automation teams that need on-premise workflow control
- Pipelex:Developers building LLM pipelines, AI agents, and chatbot tools.
- Pricing
- Heym:Free
- Pipelex:Open source
- Open source
- Heym:Yes, 1,300 GitHub stars
- Pipelex:Yes, 0 GitHub stars
- Works with
- Heym:OpenAI, Anthropic, Ollama, Cerebras, Google Gemini, OpenRouter, Slack, Discord
- Pipelex:Claude Code, Codex, FastAPI, VS Code, n8n, TypeScript, Python, Docker
- DevHunt upvotes
- Heym:5
- Pipelex:40
- Launched on DevHunt
- Heym:Apr 2026
- Pipelex:Oct 2025
Heym features
- Visual drag-and-drop canvas. Design DAG workflows with nodes for triggers, LLMs, agents, logic and integrations.
- AI Assistant. Describe a workflow in plain English and the assistant generates the canvas instantly.
- Multi-agent orchestration. Nest agents up to five levels and run parallel branches for complex tasks.
- Built-in RAG. Semantic search using managed Qdrant vector stores or PostgreSQL pgvector.
- Human-in-the-Loop checkpoints. Add approval steps to pause automation for human review.
- Full observability. Trace execution, view span timelines and token counts for every run.
- Skills system. Create portable capability bundles that agents can reuse across workflows.
- Extensive integrations. Connect to OpenAI, Anthropic, Slack, Discord, Gmail, GitHub, Qdrant, Redis, RabbitMQ, Playwright and many more.
Pipelex features
- Declarative MTHDS language. Write typed AI methods in a Dockerfile/SQL-like syntax that defines steps, inputs, and outputs.
- Agent plugins. Claude Code and Codex plugins let agents design, run, and save methods directly from the IDE.
- Multi-environment execution. Run methods as a chatbot MCP, a webapp, or via API/CLI on any infrastructure.
- Open standard runtime. Pipelex runtime executes methods locally or in Docker, handling model routing and structured output.
- SDKs and integrations. TypeScript (@pipelex/sdk) and Python (pipelex-sdk) clients generate typed calls to the Pipelex API.
- VS Code extension. Provides syntax highlighting, linting, and formatting for .mthds files.
Based on each tool's website and DevHunt data. Details may change; check the official sites.